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systems planning, length of stay management, denial prevention, and performance improvement initiatives. This position provides direct oversight, serves as a role model and primary resource to coworkers and
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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
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Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
: Applications accepted all year round Details We welcome applications for a PhD in population ecology and demographic modelling within a dynamic, interdisciplinary research group tackling big questions across
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Ecology at the Senckenberg Biodiversity and Climate Research Centre (SBiK-F) as soon as possible: PhD (m/f/d) Transcriptional Regulation in Beetle Sociality (65%) Location: Frankfurt Employment scope: Part
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procedures This role performs various assays, imaging experiments, and other technical duties to assist with the research activities of the laboratory and may be required to work with animal models and/or
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a cutting-edge Device-Aware Testing (DAT) platform for emerging memories such as STT-MRAMs and RRAMs. By integrating physical defect modeling directly into the test flow, POPCORN enhances outgoing
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Posting Details Position Information Job Title Postdoctoral Scholar Position Number PDS-Pharm-03-26 Vacancy Open to All Candidates Department EHH BSOM Pharmacology Department Homepage https
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leading to cell death upon pathogen recognition. A recent evolutionary model proposes that NLRs have evolved from single units (singleton NLRs) able to both detect and respond to the presence of pathogen
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population changes, and other demographic parameters (survival, fecundity, reproductive success, etc.). These integrated population models (IPMs) are increasingly used in ecology. They offer clear advantages
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to the UrEco 2030+ project: “Optimizing Urban Ecosystem Services Model for Urban Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information